| Title |
Characterization of the Leaf Microbiome from Whole-Genome Sequencing Data of the 3000 Rice Genomes Project
|
|---|---|
| Published in |
Rice, October 2020
|
| DOI | 10.1186/s12284-020-00432-1 |
| Pubmed ID | |
| Authors |
Veronica Roman-Reyna, Dale Pinili, Frances N. Borja, Ian L. Quibod, Simon C. Groen, Nickolai Alexandrov, Ramil Mauleon, Ricardo Oliva |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 20% |
| Australia | 2 | 13% |
| France | 1 | 7% |
| Spain | 1 | 7% |
| Netherlands | 1 | 7% |
| Ecuador | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 60% |
| Members of the public | 6 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 8 | 16% |
| Student > Doctoral Student | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 15 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 47% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Environmental Science | 3 | 6% |
| Immunology and Microbiology | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2020.
All research outputs
#2,021,847
of 23,396,451 outputs
Outputs from Rice
#20
of 394 outputs
Outputs of similar age
#55,657
of 416,698 outputs
Outputs of similar age from Rice
#2
of 7 outputs
Altmetric has tracked 23,396,451 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 394 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 416,698 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.